medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: March 6, 2023
Abstract
Pandemic
preparedness
requires
institutions,
including
public
health
authorities
and
governments,
to
detect,
survey
control
outbreaks.
To
maintain
an
accurate,
quantitative
up-to-date
picture
of
epidemic
crisis
is
key.
For
SARS-CoV-2,
this
was
mostly
achieved
by
ascertaining
incidence
numbers
the
effective
reproductive
number
(
R
eff
),
which
counts
how
many
people
infected
person
likely
infect
on
average.
These
give
strong
hints
past
infection
dynamics
in
a
population
but
fail
clearly
characterize
current
future
as
well
potential
effects
pharmaceutical
non-pharmaceutical
interventions.
We
show
that,
using
combining
surveillance
population-scale
contact
statistics,
we
can
obtain
better
understanding
drivers
waves
effectiveness
This
approach
provide
real-time
picture,
thus
saving
not
only
lives
quickly
allowing
adaptation
policies
also
alleviating
economic
other
burdens
if
intervention
proves
ineffective.
factorize
into
contacts
relative
transmissibility:
Both
signals
be
used,
individually
combined,
identify
driving
forces
epidemic,
monitoring
assessing
interventions,
projecting
epidemic’s
trajectory.
Using
data
for
SARS-CoV-2
Influenza
from
2019
onward
Germany,
evidence
usefulness
our
approach.
In
particular,
find
that
physical
distancing
lockdowns
vaccination
campaigns
are
dominant.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: May 16, 2024
Abstract
Many
studies
have
used
mobile
device
location
data
to
model
SARS-CoV-2
dynamics,
yet
relationships
between
mobility
behavior
and
endemic
respiratory
pathogens
are
less
understood.
We
studied
the
effects
of
population
on
transmission
17
viruses
in
Seattle
over
a
4-year
period,
2018-2022.
Before
2020,
visits
schools
daycares,
within-city
mixing,
visitor
inflow
preceded
or
coincided
with
seasonal
outbreaks
viruses.
Pathogen
circulation
dropped
substantially
after
initiation
COVID-19
stay-at-home
orders
March
2020.
During
this
was
positive,
leading
indicator
all
lagging
negatively
correlated
activity.
Mobility
briefly
predictive
when
restrictions
relaxed
but
associations
weakened
subsequent
waves.
The
rebound
heterogeneously
timed
exhibited
stronger,
longer-lasting
than
SARS-CoV-2.
Overall,
is
most
virus
during
periods
dramatic
behavioral
change
at
beginning
epidemic
PLOS Digital Health,
Journal Year:
2022,
Volume and Issue:
1(5), P. e0000035 - e0000035
Published: May 26, 2022
Despite
the
availability
of
effective
vaccines
against
SARS-CoV-2,
non-pharmaceutical
interventions
remain
an
important
part
effort
to
reduce
viral
circulation
caused
by
emerging
variants
with
capability
evading
vaccine-induced
immunity.
With
aim
striking
a
balance
between
mitigation
and
long-term
sustainability,
several
governments
worldwide
have
adopted
systems
tiered
interventions,
increasing
stringency,
that
are
calibrated
according
periodic
risk
assessments.
A
key
challenge
remains
in
quantifying
temporal
changes
adherence
which
can
decrease
over
time
due
pandemic
fatigue,
under
such
kind
multilevel
strategies.
Here,
we
examine
whether
there
was
reduction
restrictions
were
imposed
Italy
from
November
2020
through
May
2021,
particular
assess
trends
depended
on
intensity
adopted.
We
analyzed
daily
movements
residential
time,
combining
mobility
data
restriction
tier
enforced
Italian
regions.
Through
mixed-effects
regression
models,
identified
general
trend
additional
effect
faster
waning
associated
most
stringent
tier.
estimated
both
effects
being
same
order
magnitude,
suggesting
decreased
twice
as
fast
during
strictest
least
one.
Our
results
provide
quantitative
measure
behavioral
responses
interventions-a
metric
fatigue-that
be
integrated
into
mathematical
models
evaluate
future
epidemic
scenarios.
Scientific Reports,
Journal Year:
2021,
Volume and Issue:
11(1)
Published: Oct. 12, 2021
To
support
public
health
policymakers
in
Connecticut,
we
developed
a
flexible
county-structured
compartmental
SEIR-type
model
of
SARS-CoV-2
transmission
and
COVID-19
disease
progression.
Our
goals
were
to
provide
projections
infections,
hospitalizations,
deaths,
estimates
important
features
clinical
In
this
paper,
outline
the
design,
implementation
calibration,
describe
how
used
meet
changing
requirements
officials
Connecticut
from
March
2020
February
2021.
The
approach
takes
advantage
our
unique
access
surveillance
hospital
data
direct
connection
state
policymakers.
We
calibrated
on
deaths
hospitalizations
novel
measure
close
interpersonal
contact
frequency
capture
changes
risk
over
time
multiple
local
sources
infer
dynamics
time-varying
inputs.
Estimated
epidemiologic
epidemic
include
effective
reproduction
number,
cumulative
incidence
infection,
infection
hospitalization
fatality
ratios,
case
detection
ratio.
conclude
with
discussion
limitations
inherent
predicting
uncertain
trajectories
lessons
learned
one
year
providing
Connecticut.
Health & Place,
Journal Year:
2023,
Volume and Issue:
82, P. 103031 - 103031
Published: April 25, 2023
-
To
identify
and
assess
whether
three
major
risk
factors
that
due
to
differential
access
flexible
resources
might
help
explain
disparities
in
the
spread
of
COVID-19
across
communities
with
different
socioeconomic
status,
including
inequalities
social
distancing,
potential
interpersonal
interactions,
testing.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(42)
Published: Oct. 12, 2023
The
coronavirus
disease
2019
(COVID-19)
pandemic
and
the
measures
taken
by
authorities
to
control
its
spread
have
altered
human
behavior
mobility
patterns
in
an
unprecedented
way.
However,
it
remains
unclear
whether
population
response
a
COVID-19
outbreak
varies
within
city
or
among
demographic
groups.
Here,
we
utilized
passively
recorded
cellular
signaling
data
at
spatial
resolution
of
1
km
×
for
over
5
million
users
epidemiological
surveillance
collected
during
severe
acute
respiratory
syndrome
2
(SARS-CoV-2)
Omicron
BA.2
from
February
June
2022
Shanghai,
China,
investigate
heterogeneous
different
segments
within-city
level
examine
relationship
with
actual
risk
infection.
Changes
were
spatially
heterogenous
groups
associated
both
infection
incidence
adopted
interventions.
We
also
found
that
males
individuals
aged
30
59
y
old
traveled
more
frequently,
longer
distances,
their
communities
connected;
same
highest
SARS-CoV-2
incidence.
Our
results
highlight
behavioral
change
Shanghai
effect
on
COVID-19,
demographically.
These
findings
could
be
instrumental
design
targeted
interventions
mitigation
future
outbreaks
and,
broadly,
pathogens.
JAMA Network Open,
Journal Year:
2021,
Volume and Issue:
4(12), P. e2140602 - e2140602
Published: Dec. 23, 2021
During
the
2020-2021
academic
year,
many
institutions
of
higher
education
reopened
to
residential
students
while
pursuing
strategies
mitigate
risk
SARS-CoV-2
transmission
on
campus.
Reopening
guidance
emphasized
polymerase
chain
reaction
or
antigen
testing
for
and
social
distancing
measures
reduce
frequency
close
interpersonal
contact,
Connecticut
colleges
universities
used
a
variety
approaches
reopen
campuses
students.To
characterize
institutional
reopening
COVID-19
outcomes
in
18
college
university
across
Connecticut.This
retrospective
cohort
study
data
cases
contact
from
that
had
during
year.Tests
performed
per
week
student.Cases
student
mean
(95%
CI)
student.Between
235
4603
attended
fall
semester
each
Connecticut,
with
fewer
at
most
spring
semester.
In
census
block
groups
containing
residence
halls,
move-in
resulted
475%
CI,
373%-606%)
increase
561%
441%-713%)
compared
7
weeks
prior
move-in.
The
association
between
test
case
rate
was
complex;
tested
infrequently
detected
few
but
failed
blunt
transmission,
whereas
more
frequently
prevented
further
spread.
2020,
additional
associated
decrease
0.0014
-0.0028
-0.00001).The
findings
this
suggest
that,
era
available
vaccinations
highly
transmissible
variants,
should
continue
use
mitigation
control
on-campus
cases.
Frontiers in Materials,
Journal Year:
2023,
Volume and Issue:
9
Published: Jan. 11, 2023
In
December
2019,
Coronavirus
pandemic
(COVID-19)
caused
by
Severe
Acute
Respiratory
Syndrome
2
(SARS-CoV-2)
viruses,
which
affected
the
whole
world,
is
emerged.
The
details
on
epidemiology,
infection
source,
transmission
mode,
and
prognosis
of
SARS-CoV-2
gave
in
this
review.
Universal
control
standards
such
as
hand
hygiene,
environmental
cleanliness,
use
personal
protective
equipment,
quarantine
used
to
prevent
spread
COVID-19
without
vaccine.
However,
many
vaccine
candidate
studies
carried
out
globally
with
using
traditional
technological
approaches.
Innovations
technology
allow
development
nanotechnological
tools
formation
systems
that
will
inactivate
patients.
It
expected
include
technologies
combine
different
disciplines,
especially
robotic
applications,
antimicrobial
nanotechnology,
tissue
engineering
for
future
treatment
COVID-19.
This
review-based
work
discusses
relationship
nanotechnology
based
working
principles.